代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/271244/11002010
m respsp.m
function ra=respsp(x1,x2)
% The function RESPSP computes the Hilbert response function
% from one input, x2, and one output, x1, both are Hilbert spectra
% of the same dimensions.
% The basic
www.eeworm.com/read/271244/11002013
m cnstm.m
function z=cnstm(p,nf1,nf2,nn)
%
% z=cnstm(p,nf1,nf2,nn):
%
% Function to construct a matrix of constant horizontal value.
%
% Input-
% p - vector p(nf2), representing the power spectrum
% nf1
www.eeworm.com/read/271244/11002175
m nfame.m
function [nf, na, ex, E, N] = nfame(data,dt)
%
% [nf,na,ex,E,N]=nfame(data,dt) :
%
% Function to calculate the modified Hilbert frequency and amplitude
% of data(n,k), where n specifies
www.eeworm.com/read/271037/11011265
h fe_database.h
/*
* =============================================================================
* ALADDIN Version 1.0 :
* fe_database.h : Database for Finite Element Machine
*
www.eeworm.com/read/270946/11018972
m nlgen.m
function y = nlgen (x, h, q)
%NLGEN generates the output of a second order Volterra system
% y = nlgen (x, h, q)
% y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l)
% the
www.eeworm.com/read/416321/11033199
inl linearequation.inl
//LinearEquation.inl 线性方程(组)求解函数(方法)定义
// Ver 1.0.0.0
// 版权所有(C) 何渝, 2002
// 最后修改: 2002.5.31
#ifndef _LINEAREQUATION_INL
#define _LINEAREQUATION_INL
//全选主元高斯消去法
template
int L
www.eeworm.com/read/143425/6930480
m arfit.m
function [w, A, C, sbc, fpe, th]=arfit(v, pmin, pmax, selector, no_const)
%ARFIT Stepwise least squares estimation of multivariate AR model.
%
% [w,A,C,SBC,FPE,th]=ARFIT(v,pmin,pmax) produces estimat
www.eeworm.com/read/143425/6930485
m adjph.m
function ox=adjph(x)
%ADJPH Normalization of columns of a complex matrix.
%
% Given a complex matrix X, OX=ADJPH(X) returns the complex matrix OX
% that is obtained from X by multiplying column vect
www.eeworm.com/read/143425/6930489
m arsim.m
function [v]=arsim(w,A,C,n,ndisc)
%ARSIM Simulation of AR process.
%
% v=ARSIM(w,A,C,n) simulates n time steps of the AR(p) process
%
% v(k,:)' = w' + A1*v(k-1,:)' +...+ Ap*v(k-p,:)' + eta(k,:)'